Vitalik: We Shouldn't Oppose AI, But Create Sanctuaries

marsbitОпубликовано 2026-05-17Обновлено 2026-05-17

Введение

Summary: In a podcast, Ethereum co-founder Vitalik Buterin discusses the human response to advancing AI. He argues the core risk isn't AI's intelligence, but humanity's passive reliance on centralized systems and AI, which erodes privacy and personal agency. His solution is not to fight AI, but to build "sanctuary technologies"—tools like Ethereum that offer safe, optional spaces where individuals can retain sovereignty and freedom of choice without being forced into a single system. Buterin reflects on his shift from an "autopilot" mode in his youth to actively "piloting" his life and work. He stresses the importance of maintaining "manual mode" activities—like learning actively and performing tasks without AI assistance—to prevent mental atrophy and preserve independent thought. For builders, his advice is to prioritize technologies that protect human agency, avoid outsourcing all strategic thinking, and actively engage in serendipitous, real-world interactions. He repositions Ethereum/crypto not as a fix for legacy systems like the dollar, but as a parallel, voluntary option. In an era of increasing centralization, the freedom to opt-in or opt-out becomes invaluable. The key takeaway is that the AI era demands greater human proactivity; the scarcest resource will remain actively thinking, sovereign individuals.

Author: Saito

Just finished listening to this episode of Vitalik's podcast with a16z, and the amount of information was mind-blowing.

He founded Ethereum at 19 and is now in his early 30s, having transitioned from living on "autopilot" to "actively piloting."

The core topic of this episode is the question we are most anxious about today: AI is getting stronger, so what should humans do?

Vitalik's answer is not to "oppose AI," but to create sanctuary technologies. These are technologies that protect us without stripping away our privacy and agency (sovereignty).

Today, I'll break down the hardest counter-intuitive points, practical advice, and Ethereum's new positioning from this episode.

The Biggest Risk in the AI Era Isn't That AI Is Too Smart, But That Humans Are Too Passive

Vitalik bluntly stated that the world today is less secure and less peaceful than it was 10 to 15 years ago.

Many people are pursuing a kind of "safety": handing everything over to "Uncle in the Sky," meaning big companies, super AIs, centralized systems, letting them make decisions for us, manage risks, and provide protection.

But the cost of this safety is that we lose privacy and lose agency.

Vitalik calls this kind of safety disempowering safety, safety that increasingly weakens people.

This is also where he reinterprets the mission of crypto / Ethereum. The significance of Ethereum is not to "fix the dollar," not to repair the existing financial system, but to create a new option. You are free to choose whether to use it or not.

This is what a true sanctuary is: both safe and allowing you to retain sovereignty.

Sanctuary Technologies: Small Spaces Preserving Human Freedom

Sanctuary Technologies is a term coined by Vitalik himself, and "庇护所技术" (bì hù suǒ jì shù, sanctuary technology) is a fitting translation.

It's not about turning the whole world into a safe house, nor is it about ruling everyone with a larger system. What it truly aims to do is: give you a safe, small space where you can think, coordinate, and create freely without being completely controlled by external forces.

It has several core characteristics: it is not totalizing, it does not attempt to rule the entire world; it preserves privacy and agency; everyone can freely enter and exit, it is not mandatory.

Ethereum is a typical sanctuary tech. It doesn't try to fix the existing financial system; it gives you a parallel option. Use it if you want, don't if you don't.

This will become increasingly important in the AI era. Because as big companies and super AIs become stronger, what humans truly need is not another system that "arranges everything for you," but a space that preserves your right to choose.

From Autopilot to Active Pilot: Vitalik's Personal Growth

Vitalik reflected that when he founded Ethereum at 19, he was largely in an autopilot state.

Many decisions were made by going with the flow: dropping out, writing the whitepaper, being denied a visa by Ripple, which instead became a turning point in his life. Back then, he was more like being pushed along by the world.

But now he is increasingly realizing: the world changes too fast, no one is coming to save you, you must be the pilot yourself.

He gave a few very relatable examples. Ten years ago, people could go days without contacting friends; now, not replying to a message for a day causes anxiety. Ten years ago, you could actually get "lost" while walking; now, with phone navigation, cities have become a series of "teleportation points."

These changes remind us: the world "dies and is reborn" every 5 to 10 years. If you keep living by the old script, you'll fall behind quickly.

So what's truly important in the AI era is not passively waiting for technology to take you somewhere, but actively deciding how you will use technology.

The Stronger AI Gets, The More Humans Must Keep "Manual Mode"

Vitalik specifically emphasized: active learning is 10 times more effective than passive learning, even if you spend the same amount of time.

From a young age, he would force himself to do many things manually, like not using a calculator in chemistry class or not using navigation while walking. The goal wasn't to be anti-technology, but to keep his brain engaged.

The stronger AI gets, the more we should deliberately retain some "manual mode."

Sometimes deliberately not using AI to write code, sometimes deliberately walking without navigation, sometimes deliberately not letting a chatbot think through problems for you.

This isn't nostalgia, nor is it rejecting efficiency; it's to prevent brain atrophy and maintain one's own agency.

AI can help us do many things, but if all thinking, judgment, and exploration are outsourced, people will slowly become passengers in the system. Vitalik's reminder is: you can use AI, but don't let yourself become completely dependent on it.

Practical Advice for Builders

In this episode, the inspiration Vitalik gives to ordinary builders is very direct.

First, force yourself to do things manually. Even if AI can help you, occasionally do things yourself to ensure your brain doesn't get rusty.

Second, active learning. Don't just let AI give you answers; deduce, verify, and do things yourself.

Third, build sanctuary technologies. Whether you're building open-source tools, decentralized protocols, or a personal knowledge base, prioritize one thing: does it help people retain sovereignty?

Fourth, don't outsource all your brainpower. AI can help you with execution, but strategy, direction, and values must be controlled by you.

Fifth, maintain serendipity. Participate more in offline events, talk more with real people, don't leave all discoveries to algorithm recommendations.

These points all essentially point to the same core: the AI era isn't about using tools less, but about using tools more actively.

Ethereum's New Positioning: Not Fixing the Old World, But Creating New Options

Vitalik is also clear about crypto's positioning.

Crypto can't solve all of the dollar's problems, and it doesn't need to pretend it can solve all problems. But it can create something new without those shortcomings.

Everyone can freely choose to use it or not.

This is crypto's greatest strength: it doesn't force you; it gives you choice.

In an era where AI power is increasingly concentrated, this will become increasingly precious. Because as more and more systems try to make decisions for you, filter information for you, and judge risks for you, a parallel option that is non-coercive and allows free entry and exit becomes very important in itself.

The value of Ethereum / crypto is not "beating the old world," but giving you a new world you can freely choose.

The Most Counter-Intuitive Lines from This Episode

The biggest risk in the AI era is not AI replacing humans, but humans willingly turning themselves into passengers.

A sanctuary isn't about making the whole world safe, but giving you a safe, small space where you can still retain freedom.

Active learning is 10 times more effective than passive learning, even with the same time spent.

The world dies and is reborn every 5 to 10 years; we must be our own pilot.

Inspiration for Ordinary People

The stronger AI gets, the more proactive humans must be.

Don't outsource all your thinking to models. Do more manual things to keep your brain engaged. Participate in building tools that preserve human sovereignty, whether open-source, decentralized, or personal knowledge management systems.

Remember: technology ultimately serves humans, it does not replace humans.

Vitalik concluded by saying that we humans are the brightest stars. AI can be strong, but what truly drives the world forward are still active, agentic people.

Summary in One Sentence

With his 10 years of personal experience, Vitalik tells us: The AI era is not an era to lie back, but an era that requires humans to actively pilot more than ever.

Don't outsource your brain to models. Do more manual things, build sanctuary technologies, preserve your privacy and agency.

My biggest takeaway after listening to this episode is: Before, we feared AI taking our jobs; now it seems AI is actually upgrading people from "executors" to "designers."

What's truly scarce has never been computing power, but people willing to think actively and preserve their sovereignty.

Связанные с этим вопросы

QAccording to Vitalik, what is the main approach we should take towards AI, and what is the core concept behind it?

AThe main approach is not to fight against AI, but to create 'Sanctuary Technologies'. The core concept is to build safe spaces that protect humans without stripping away their privacy and agency (sovereignty).

QWhat does Vitalik mean by 'disempowering safety', and why is it a risk in the AI era?

A'Disempowering safety' refers to the kind of security gained by handing over decision-making, risk management, and protection to big companies, super AIs, or centralized systems. The risk is that while it offers safety, the cost is the loss of human privacy and agency, making people increasingly passive.

QBased on the article, what is the new purpose or positioning of Ethereum/crypto as explained by Vitalik?

AVitalik repositions Ethereum/crypto not as a tool to 'fix' or replace the old world (like the current financial system), but as a creator of a new, parallel option. Its power lies in offering people a voluntary choice—to use it or not—thereby providing a sanctuary where one can retain sovereignty.

QWhat are the practical suggestions Vitalik offers for builders and individuals in the AI era?

A1. Force yourself to do things manually sometimes to keep your brain active. 2. Engage in active learning (self-derivation, verification) rather than just accepting AI answers. 3. Build tools and technologies that help preserve human sovereignty (sanctuary technologies). 4. Don't outsource all strategic thinking and values to AI; maintain personal control over direction. 5. Keep serendipity alive through real-world interactions and not relying solely on algorithmic recommendations.

QWhat is the 'most counter-intuitive' point Vitalik makes about learning and human agency in relation to AI?

AHe states that 'active learning is 10 times more effective than passive learning, even if the time spent is the same.' This underscores the importance of maintaining manual, self-directed thinking and agency to prevent mental atrophy, especially as AI grows more powerful.

Похожее

Deconstructing the U.S. Stock Quantum Computing Sector: IonQ, Rigetti, D-Wave, Which of These Concept Stocks is Worth Betting On?

**Title:** Analyzing the US Quantum Computing Race: IonQ, Rigetti, D-Wave – Which Concept Stock is Worth Betting On? **Summary:** The podcast discusses the resurgence of quantum computing as a national priority for both the US and China, driven by its potential to break current encryption, revolutionize drug discovery, finance, and logistics. The core challenge is commercializing the technology, which is hampered by high error rates in quantum bits (qubits). Quantum error correction, requiring thousands of physical qubits per reliable logical qubit, is key but years away. The analysis compares three main publicly traded US quantum computing firms: * **IonQ (Ion Trap):** Considered the most financially stable with the fastest commercial progress (2025 revenue: $130M, +202%) and high-quality clients. Its valuation is very high, pricing in significant future growth. * **Rigetti (Superconducting):** Seen as the highest-risk, highest-potential-reward bet. It has the smallest revenue but recently launched a 108-qubit system. Its valuation multiples are extreme, making it highly sensitive to news. * **D-Wave (Quantum Annealing):** Has the most unique positioning with real-world enterprise clients today (e.g., Mastercard, Volkswagen) solving optimization problems. Its recent acquisition moves it into general-purpose quantum computing ("dual-platform"), adding execution risk. Major tech giants like Google, IBM, and Microsoft are also heavily invested, pursuing various technical approaches. Nvidia is positioning itself as the essential bridge between classical and quantum computing. The investment phase is likened to AI in 2018-2020: promising underlying technology with accelerating breakthroughs but a commercial inflection point still 3-7 years away, suggesting potential for a market correction ("bubble washout"). For investors, suggested approaches include gaining exposure through tech giants with quantum divisions (e.g., Google, IBM) or using niche ETFs like WQTM for pure-play quantum exposure, rather than direct stock picks in the highly volatile pure-play companies at this early stage.

marsbit11 мин. назад

Deconstructing the U.S. Stock Quantum Computing Sector: IonQ, Rigetti, D-Wave, Which of These Concept Stocks is Worth Betting On?

marsbit11 мин. назад

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

From Parallel Finance to Mainstream: The Dawn of On-Chain Securities For over a decade, the crypto industry has operated as a parallel financial system with its own currencies, markets, and assets—from Bitcoin and ICOs to DeFi, NFTs, and memecoins. Despite building a robust internal ecosystem, a wall has separated it from the traditional financial world. That barrier is now crumbling. The industry's first act was one of internal evolution: ICOs streamlined fundraising, DeFi recreated financial services on-chain, and layer-2 networks competed for scalability—all within the crypto bubble. While innovative, this cycle remained closed, with capital and users circulating internally, leading to volatile boom-bust cycles. Even Bitcoin ETFs, while attracting Wall Street capital, merely provided a channel to buy crypto assets without bridging the systems. The next, larger narrative is Real-World Assets (RWA) moving on-chain. This involves tokenizing stocks, bonds, funds, and future cash flows. Blockchain can compress the complex traditional processes of trading, settlement, clearing, and custody into a seamless, automated network operating in seconds. This shift is creating a new financial gateway: the native crypto securities broker. This entity will combine functions of an exchange, broker, bank, and custodian into a unified global financial operating system. Consequently, the next major battleground won't be the "public chain wars" focused on speed and cost, but the competition to build the financial infrastructure capable of hosting high-quality, liquid real-world assets. Access to global equities, index funds, or stakes in companies like SpaceX could erase the boundary between crypto and traditional finance, unlocking a market orders of magnitude larger than crypto's current valuation. In summary, after years of creating a separate financial world, crypto's next decade will be defined by its integration into the existing global financial system, marking the true beginning of its largest growth story.

marsbit32 мин. назад

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

marsbit32 мин. назад

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

Wang Chuan: When the Neighbor Lao Wang Made 30x on Storage Stocks, How to Stay Anxiety-Free (Part 6) - The Trap of Commoditized Goods. This essay uses historical and current examples to analyze the cyclical and high-risk nature of the data storage industry. It begins with the 1990s rise and dramatic fall of Iomega, whose stock soared over 160x in 18 months before collapsing 97% from its peak, illustrating the fleeting success of storage "meme stocks." The core problem is that storage products, like DRAM and flash memory, are highly commoditized. This leads to extreme volatility: prices have plummeted over 80% multiple times, and company stocks often crash 95% or go bankrupt. The industry's dynamic is defined by "elastic demand facing heavy-asset, long-cycle, rigid supply." When demand spikes and supply is fixed, prices skyrocket, as seen recently with AI-driven demand for High Bandwidth Memory (HBM). Companies like Sandisk and Micron have reported massive revenue and gross margin jumps (e.g., Sandisk's gross margin rising from 22.5% to 78.3%) despite minimal increases in production volume. However, these high margins are self-defeating. They incentivize massive new capacity investments (hundreds of billions planned from 2026), with supply expected to surge by late 2027. Once new supply meets demand, prices and profits will crash, potentially leading to a scenario where "selling more results in earning less." The article debunks the safety of long-term supply agreements, comparing them to fragile non-aggression pacts easily broken when market conditions shift. It warns that when an industry is highly profitable but trades at low P/E ratios, the risk is greatest, as plummeting prices quickly erase those earnings. Multiple asymmetric risks loom, including economic recession, reduced AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and technological innovations that reduce memory requirements. In conclusion, the storage sector is a cyclical trap where periods of euphoric profits are often precursors to devastating downturns, luring unprepared investors into a "wealth incinerator."

marsbit42 мин. назад

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

marsbit42 мин. назад

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

The article, "Wang Chuan: How to Remain Unanxious After Neighbor Lao Wang's Thirty-Fold Gain on Storage Stocks (Part 6) - The Trap of Commoditized Goods," analyzes the cyclical and perilous nature of the data storage industry through historical and current case studies. It begins with the example of Iomega, whose Zip drives led to a stock surge of over 160x in the mid-1990s before collapsing over 97% from its peak due to competition from cheaper CD-R technology. This pattern is characteristic of storage, where products like DRAM are highly commoditized, leading to extreme price volatility. The sector has seen prices crash over 80% multiple times, with companies often facing bankruptcy. The core dynamic is "elastic demand facing heavy-asset, long-cycle, rigid supply." High prices attract new capacity, but the long lead time means supply eventually overshoots, causing sharp price corrections. The current AI-driven boom, exemplified by surging demand for High-Bandwidth Memory (HBM), has led to skyrocketing prices and profit margins for companies like SanDisk and Micron, despite relatively flat production volumes. However, the author warns this high-margin environment is self-defeating. The high profits are already triggering massive new capacity investments (hundreds of billions starting 2026), with supply expected to ramp up by late 2027. When supply catches up, total revenue and profits may fall even as more units are sold. Long-term supply agreements offer little protection, as buyers can find ways to renegotiate if market prices drop, similar to fragile political treaties. Key risks include economic downturns, cuts in AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and innovations in chip/algorithm design that reduce memory needs. A critical trap is that at the cycle's peak, storage stocks often appear cheap with low P/E ratios, luring value investors just before an impending downturn where profits evaporate. The conclusion cautions that for commoditized goods like storage, high margins inevitably destroy themselves, and the current asymmetry favors downside risk over further upside. The neighbor's dream of easy wealth from storage stocks is portrayed as a precarious illusion.

链捕手1 ч. назад

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

链捕手1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片